test: Performance Testing (#675)

* performance files

* test_benchmark

* performance testing changes

* changes in benchmark performance for prod

* changes to number of runs

* adding comments

* linting changes

* changes for 3.2

* Revert "changes for 3.2"

This reverts commit 488035c.

* adding licence

Author: asthamohta

tests/performance/__init__.py

@@ -0,0 +1,5 @@
+# Copyright 2021 Google LLC
+#
+# Use of this source code is governed by a BSD-style
+# license that can be found in the LICENSE file or at
+# https://developers.google.com/open-source/licenses/bsd

tests/performance/django_spanner/__init__.py

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+# Copyright 2021 Google LLC
+#
+# Use of this source code is governed by a BSD-style
+# license that can be found in the LICENSE file or at
+# https://developers.google.com/open-source/licenses/bsd

tests/performance/django_spanner/models.py

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+# Copyright 2021 Google LLC
+#
+# Use of this source code is governed by a BSD-style
+# license that can be found in the LICENSE file or at
+# https://developers.google.com/open-source/licenses/bsd
+
+from django.db import models
+
+
+class Author(models.Model):
+    id = models.IntegerField(primary_key=True)
+    first_name = models.CharField(max_length=20)
+    last_name = models.CharField(max_length=20)
+    rating = models.CharField(max_length=50)

tests/performance/django_spanner/test_benchmark.py

@@ -0,0 +1,296 @@
+# Copyright 2021 Google LLC
+#
+# Use of this source code is governed by a BSD-style
+# license that can be found in the LICENSE file or at
+# https://developers.google.com/open-source/licenses/bsd
+
+import random
+import time
+import unittest
+
+import pandas as pd
+import pytest
+from django.db import connection
+from google.api_core.exceptions import Aborted
+from google.cloud import spanner_dbapi
+from google.cloud.spanner_v1 import Client, KeySet
+
+from tests.performance.django_spanner.models import Author
+from tests.settings import DATABASE_NAME, INSTANCE_ID
+from tests.system.django_spanner.utils import setup_database, setup_instance
+
+
+def measure_execution_time(function):
+    """Decorator to measure a wrapped method execution time."""
+
+    def wrapper(self, measures):
+        """Execute the wrapped method and measure its execution time.
+        Args:
+            measures (dict): Test cases and their execution time.
+        """
+        t_start = time.time()
+        try:
+            function(self)
+            measures[function.__name__] = round(time.time() - t_start, 4)
+        except Aborted:
+            measures[function.__name__] = 0
+
+    return wrapper
+
+
+def insert_one_row(transaction, one_row):
+    """A transaction-function for the original Spanner client.
+    Inserts a single row into a database and then fetches it back.
+    """
+    transaction.execute_update(
+        "INSERT Author (id, first_name, last_name, rating) "
+        " VALUES {}".format(str(one_row))
+    )
+    last_name = transaction.execute_sql(
+        "SELECT last_name FROM Author WHERE id=1"
+    ).one()[0]
+    if last_name != "Allison":
+        raise ValueError("Received invalid last name: " + last_name)
+
+
+def insert_many_rows(transaction, many_rows):
+    """A transaction-function for the original Spanner client.
+    Insert 100 rows into a database.
+    """
+    statements = []
+    for row in many_rows:
+        statements.append(
+            "INSERT Author (id, first_name, last_name, rating) "
+            " VALUES {}".format(str(row))
+        )
+    _, count = transaction.batch_update(statements)
+    if sum(count) != 99:
+        raise ValueError("Wrong number of inserts: " + str(sum(count)))
+
+
+class DjangoBenchmarkTest:
+    """The Django performace testing class."""
+
+    def __init__(self):
+        with connection.schema_editor() as editor:
+            # Create the tables
+            editor.create_model(Author)
+
+        self._many_rows = []
+        self._many_rows2 = []
+        for i in range(99):
+            num = round(random.randint(0, 100000000))
+            self._many_rows.append(Author(num, "Pete", "Allison", "2.1"))
+            num2 = round(random.randint(0, 100000000))
+            self._many_rows2.append(Author(num2, "Pete", "Allison", "2.1"))
+
+    @measure_execution_time
+    def insert_one_row_with_fetch_after(self):
+        author_kent = Author(
+            id=2, first_name="Pete", last_name="Allison", rating="2.1",
+        )
+        author_kent.save()
+        last_name = Author.objects.get(pk=author_kent.id).last_name
+        if last_name != "Allison":
+            raise ValueError("Received invalid last name: " + last_name)
+
+    @measure_execution_time
+    def insert_many_rows(self):
+        for row in self._many_rows:
+            row.save()
+
+    @measure_execution_time
+    def insert_many_rows_with_mutations(self):
+        Author.objects.bulk_create(self._many_rows2)
+
+    @measure_execution_time
+    def read_one_row(self):
+        row = Author.objects.all().first()
+        if row is None:
+            raise ValueError("No rows read")
+
+    @measure_execution_time
+    def select_many_rows(self):
+        rows = Author.objects.all()
+        if len(rows) != 100:
+            raise ValueError("Wrong number of rows read")
+
+    def _cleanup(self):
+        """Drop the test table."""
+        with connection.schema_editor() as editor:
+            # delete the table
+            editor.delete_model(Author)
+
+    def run(self):
+        """Execute every test case."""
+        measures = {}
+        for method in (
+            self.insert_one_row_with_fetch_after,
+            self.read_one_row,
+            self.insert_many_rows,
+            self.select_many_rows,
+            self.insert_many_rows_with_mutations,
+        ):
+            method(measures)
+        self._cleanup()
+        return measures
+
+
+class SpannerBenchmarkTest:
+    """The Spanner performace testing class."""
+
+    def __init__(self):
+        self._create_table()
+        self._one_row = (
+            1,
+            "Pete",
+            "Allison",
+            "2.1",
+        )
+        self._client = Client()
+        self._instance = self._client.instance(INSTANCE_ID)
+        self._database = self._instance.database(DATABASE_NAME)
+
+        self._many_rows = []
+        self._many_rows2 = []
+        for i in range(99):
+            num = round(random.randint(0, 100000000))
+            self._many_rows.append((num, "Pete", "Allison", "2.1"))
+            num2 = round(random.randint(0, 100000000))
+            self._many_rows2.append((num2, "Pete", "Allison", "2.1"))
+
+        # initiate a session
+        with self._database.snapshot():
+            pass
+
+    def _create_table(self):
+        """Create a table for performace testing."""
+        conn = spanner_dbapi.connect(INSTANCE_ID, DATABASE_NAME)
+        conn.database.update_ddl(
+            [
+                """
+CREATE TABLE Author (
+    id INT64,
+    first_name STRING(20),
+    last_name STRING(20),
+    rating STRING(50),
+) PRIMARY KEY (id)
+        """
+            ]
+        ).result(120)
+
+        conn.close()
+
+    @measure_execution_time
+    def insert_one_row_with_fetch_after(self):
+        self._database.run_in_transaction(insert_one_row, self._one_row)
+
+    @measure_execution_time
+    def insert_many_rows(self):
+        self._database.run_in_transaction(insert_many_rows, self._many_rows)
+
+    @measure_execution_time
+    def insert_many_rows_with_mutations(self):
+        with self._database.batch() as batch:
+            batch.insert(
+                table="Author",
+                columns=("id", "first_name", "last_name", "rating"),
+                values=self._many_rows2,
+            )
+
+    @measure_execution_time
+    def read_one_row(self):
+        with self._database.snapshot() as snapshot:
+            keyset = KeySet(all_=True)
+            snapshot.read(
+                table="Author",
+                columns=("id", "first_name", "last_name", "rating"),
+                keyset=keyset,
+            ).one()
+
+    @measure_execution_time
+    def select_many_rows(self):
+        with self._database.snapshot() as snapshot:
+            rows = list(
+                snapshot.execute_sql("SELECT * FROM Author ORDER BY last_name")
+            )
+            if len(rows) != 100:
+                raise ValueError("Wrong number of rows read")
+
+    def _cleanup(self):
+        """Drop the test table."""
+        conn = spanner_dbapi.connect(INSTANCE_ID, DATABASE_NAME)
+        conn.database.update_ddl(["DROP TABLE Author"])
+        conn.close()
+
+    def run(self):
+        """Execute every test case."""
+        measures = {}
+        for method in (
+            self.insert_one_row_with_fetch_after,
+            self.read_one_row,
+            self.insert_many_rows,
+            self.select_many_rows,
+            self.insert_many_rows_with_mutations,
+        ):
+            method(measures)
+        self._cleanup()
+        return measures
+
+
+@pytest.mark.django_db()
+class BenchmarkTest(unittest.TestCase):
+    def setUp(self):
+        setup_instance()
+        setup_database()
+
+    def test_run(self):
+        django_obj = pd.DataFrame(
+            columns=[
+                "insert_one_row_with_fetch_after",
+                "read_one_row",
+                "insert_many_rows",
+                "select_many_rows",
+                "insert_many_rows_with_mutations",
+            ]
+        )
+        spanner_obj = pd.DataFrame(
+            columns=[
+                "insert_one_row_with_fetch_after",
+                "read_one_row",
+                "insert_many_rows",
+                "select_many_rows",
+                "insert_many_rows_with_mutations",
+            ]
+        )
+
+        for _ in range(50):
+            django_obj = django_obj.append(
+                DjangoBenchmarkTest().run(), ignore_index=True
+            )
+            spanner_obj = spanner_obj.append(
+                SpannerBenchmarkTest().run(), ignore_index=True
+            )
+
+        avg = pd.concat(
+            [django_obj.mean(axis=0), spanner_obj.mean(axis=0)], axis=1
+        )
+        avg.columns = ["Django", "Spanner"]
+        std = pd.concat(
+            [django_obj.std(axis=0), spanner_obj.std(axis=0)], axis=1
+        )
+        std.columns = ["Django", "Spanner"]
+        err = pd.concat(
+            [django_obj.sem(axis=0), spanner_obj.sem(axis=0)], axis=1
+        )
+        err.columns = ["Django", "Spanner"]
+
+        print(
+            "Average: ",
+            avg,
+            "Standard Deviation: ",
+            std,
+            "Error:",
+            err,
+            sep="\n",
+        )